{
    "name": "mood happy",
    "type": "multi-class classifier",
    "link": "https://essentia.upf.edu/models/classification-heads/mood_happy/mood_happy-openl3-music-mel128-emb512-1.pb",
    "version": "2",
    "description": "classification of music by mood (happy/non-happy)",
    "author": "Pablo Alonso",
    "email": "pablo.alonso@upf.edu",
    "release_date": "2022-08-25",
    "framework": "tensorflow",
    "framework_version": "2.4.0",
    "classes": [
        "happy",
        "non_happy"
    ],
    "model_types": [
        "frozen_model"
    ],
    "dataset": {
        "name": "In-house MTG collection",
        "citation": "@inproceedings{laurier2009music,\n  title={Music mood annotator design and integration},\n  author={Laurier, Cyril and Meyers, Owen and Serra, Joan and Blech, Martin and Herrera, Perfecto},\n  booktitle={2009 Seventh International Workshop on Content-Based Multimedia Indexing},\n  pages={156--161},\n  year={2009},\n  organization={IEEE}\n}",
        "size": "302 full tracks + excerpts, 139/163 per class",
        "metrics": {
            "5-fold_cross_validation_normalized_accuracy": 0.79
        }
    },
    "schema": {
        "inputs": [
            {
                "name": "model/Placeholder",
                "type": "float",
                "shape": [
                    512
                ]
            }
        ],
        "outputs": [
            {
                "name": "model/Softmax",
                "type": "float",
                "shape": [
                    2
                ],
                "op": "Softmax",
                "output_purpose": "predictions"
            },
            {
                "name": "model/dense/BiasAdd",
                "type": "float",
                "shape": [
                    100
                ],
                "op": "fully connected",
                "description": "penultimate layer",
                "output_purpose": ""
            }
        ]
    },
    "citation": "",
    "inference": {
        "sample_rate": 16000,
        "algorithm": "TensorflowPredict2D",
        "embedding_model": {
            "algorithm": "N/A",
            "model_name": "openl3-music-mel128-emb512",
            "link": "https://essentia.upf.edu/models/feature-extractors/openl3/openl3-music-mel128-emb512-3.pb"
        }
    }
}